Video: Peter Kollock lectures on collective action dilemmas and the internet

Peter Kollock at 2005 Group Processes meeting

Below is one of the few videos of the late sociologist Peter Kollock giving a lecture that I know of.  It is a great example of Peter’s style: entertaining and rich with ideas and insights. The video captures Peter’s talk at Howard Rheingold’s Stanford class on “Literacy of Cooperation” – a review of computer-mediated collective action in Winter 2005. Peter speaks about strategies to avoid or resolve social dilemmas, covering the Tragedy of the Commons and Prisoner’s Dilemma situations, and applying these concepts to social media and Internet collective action.

A podcast from the Yi-Tan conference call was devoted to a discussion of Peter Kollock’s work.

If you know of additional videos of Peter, please send them my way!  marc-at-connectedaction-dot-net

Talk on Social Media at the University of Porto, Portugal, March 26th, 2010

Along with my colleague Eduarda Mendes-Rodriguez I will be speaking at the University of Porto next Friday, March 26th.

Hands-on Workshop – Social Media Network Analysis in NodeXL

This workshop provides an overview of Social Network Analysis (SNA) and its application to social media. The network or directed graph is a common structure in a wide range of different kinds of social media. Social Network Analysis is a set of tools, concepts, and techniques that can help measure a graph and the location and connection pattern of each component part.

Using NodeXL, workshop participants will learn how to take data from common social media sources (including enterprise discussions and online communities, Twitter, Flickr, your own email) and perform various types of analysis. Through this workshop, participants will:

· be able to understand the basics of SNA, its terminology and background.
· be able to transform communication data (e.g. Twitter, email, Flickr, message boards etc.) into network data.
· understand the different possible presentations of social networks, e.g. in a matrix or a sociogram.
· apply network metrics and visualizations to find clusters and key contributors in real world social media data.
· get familiar with the use of standard SNA tools and software in general and the NodeXL social network analysis add-in for Excel in particular.
· be able to derive practical and useful information through SNA analysis that would help design an innovative and successful online community.

[flickrset id=”72157623746202262″ thumbnail=”square”]